# We built an AI platform that makes Quant Trading available to everyone
**作者**: Lowes (d/acc)
**日期**: 2026-04-23T10:01:01.000Z
**来源**: [https://x.com/lowesyang/status/2047278553075769607](https://x.com/lowesyang/status/2047278553075769607)
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For a long time, quant trading has been dominated by institutions and professional teams. Not because individuals lack ideas, but because turning an idea into a live strategy takes far more than just inspiration.
You need to write code, run backtests, tune parameters, deploy to production, trade live, and continuously monitor performance. Then do it all over again.
Without the infrastructure and workflow by a professional team, this process is painfully hard to run efficiently. That’s why retail traders have almost always trailed institutions, and why anyone trading without the right stack often ends up as exit liquidity.
Minara Strategy Studio was built to change that.
## Built from the loop
Most trading tools are built for a single step. One tool writes code, another runs backtests, another handles deployment. Each does its part and stops. Everything in between is left to the trader.
In practice, the ideal workflow is a loop: idea, code, backtest, adjust, repeat ... until the result looks good enough to trust live. And once it goes live, the loop starts again.
That is why we built Strategy Studio as a full workflow, not just another point solution:
- natural-language input that generates real strategy code,
- instant backtesting, AI-driven analysis and optimization,
- live deployment directly connected to the codes you just finished.
All in one place, with no manual handoffs.
What makes us different from many so-called AI trading platforms is simple: we don’t ask an LLM to spit out buy or sell calls. We ask Minara agent to generate trading strategy code first, then refine it through backtesting before going live, until it meets your expectation.
## Generate a strategy from natural language
Minara starts with intent. Try type what you want in plain language:
> Build a BTC trend-following strategy that captures upside during directional moves, reduces low-quality trades in choppy markets, and keeps drawdown under control.
Or at a higher level:
> I want a strategy targeting around 120% backtested APY with reasonable drawdown.
Maybe the APY looks good but max drawdown is too high; or the win rate is solid but the payoff ratio is weak. Each of these is a signal. The question is whether the trader can act on it quickly enough to keep improving.
## Optimize your strategy
On most platforms, acting on backtest feedback means going back to the code, making changes manually, re-running the setup, and waiting for results. Now in Strategy Studio, traders can describe what they want to change in plain language, even if they can't spot where the problem is:#
> The APY looks good, but max drawdown is too high. Improve the risk controls.
> Choppy-market performance is too weak. Reduce low-quality trades.
> Keep APY above 100% if possible, but bring drawdown closer to 35%.
MinaraI AI updates the code, adjusts the logic, and runs the next version. The trader stays in the loop as the decision-maker without having to be the implementer.
The faster the iteration cycle, the faster a trader can find a strategy that actually works. That matters, because most strategies need multiple rounds of refinement before they are ready for live capital.
And backtests are not live trading. Once real money is involved, slippage, liquidity, and execution timing all matter. The only real test is going live.
Traditionally, that means switching systems, rebuilding execution logic, and deploying manually.
With Strategy Studio, it doesn’t. Once a backtest reaches a range you’re comfortable with, you can go live from the same interface in one click.
## Deploy and live trading
Once a strategy is ready, you can deploy and kick off live trading directly in Autopilot. From that point, execution is automatic. The name says what it does.
You can continue feeding real live-trading returns back into the system, allowing
What's Next
Strategy Studio is for the ones who had a good idea and no way to run it. It's currently in closed beta. Join the waitlist and we are approving early testers everyday.
https://strategy.minara.ai
The next version adds a layer for traders who already have an audience. You're able to publish strategies, let others follow, and share the profits.
For traders who have built a following on X or in a community, the question shifts from "can I run a strategy" to "how many people can trade alongside me."
Good trading ideas have always been everywhere. The infrastructure to run them hasn't. When that catches up, the distribution of who makes money starts to change. That's a long game, and we're early.
## 相关链接
- [Lowes (d/acc)](https://x.com/lowesyang)
- [@lowesyang](https://x.com/lowesyang)
- [11K](https://x.com/lowesyang/status/2047278553075769607/analytics)
- [16h](https://x.com/minara/status/2047254408497684733)
- [177K](https://x.com/minara/status/2047254408497684733/analytics)
- [https://strategy.minara.ai](https://strategy.minara.ai/)
- [Upgrade to Premium](https://x.com/i/premium_sign_up)
- [7:36 PM · Apr 23, 2026](https://x.com/lowesyang/status/2047278553075769607)
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*导出时间: 2026/4/24 10:53:35*